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DBMS > ArangoDB vs. Elasticsearch

System Properties Comparison ArangoDB vs. Elasticsearch

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Our visitors often compare ArangoDB and Elasticsearch with MongoDB, Neo4j and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonElasticsearch  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metric
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Search engine
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#62  Overall
#10  Document stores
#3  Graph DBMS
#9  Key-value stores
#8  Search engines
Score152.32
Rank#8  Overall
#1  Search engines
Websitewww.arangodb.comwww.elastic.co/­elasticsearch
Technical documentationwww.arangodb.com/­docs/­stablewww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.html
DeveloperArangoDB Inc.Elastic
Initial release20122010
Current release3.6.0, January 20207.8.0, June 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache Version 2; Elastic License
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Oasis –The Managed Cloud Service of ArangoDB. Oasis provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.Elasticsearch Service on Elastic Cloud: Try out the official hosted Elasticsearch and Kibana offering available on Amazon Web Services, Google Cloud and Microsoft Azure that's powered by the creators of Elasticsearch.
Implementation languageC++Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VM
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-free infoFlexible type definitions. Once a type is defined, it is persistent
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no
Secondary indexesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query language
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresJavaScriptyes
Triggersnoyes infoby using the 'percolation' feature
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptES-Hadoop Connector
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Eventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, all
Foreign keys infoReferential integrityyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Memcached and Redis integration
User concepts infoAccess controlyes
More information provided by the system vendor
ArangoDBElasticsearch
Specific characteristicsOne Engine. One Query Language. Multiple Data Models. ArangoDB is an open source...
» more
Elasticsearch is an open source search and analytics engine. As the heart of the...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Open source Real-time indexsearch, and analysis Horizontally scalable Distributed...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
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Enterprise search (search experiences for your workplace, apps, and websites), observability...
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Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Thousands of organizations worldwide, including Cisco, eBay, Goldman Sachs, Microsoft,...
» more
Market metricsArangoDB is the leading native multi-model database with over 9000 stargazers on...
» more
Public as of October 2018 Distributed workforce with 1900+ employees around the globe​...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
The Elastic Stack (Elasticsearch, Kibana, Beats, and Logstash) is free and open source...
» more
News

ArangoDB Assembles 10,000 GitHub Stargazers
20 July 2020

A Deep And Fuzzy Dive Into Search
16 July 2020

Do Graph Databases Scale? Yes? No? Let’s see!
13 July 2020

ArangoDB 3.7 BETA – Graph & Search Engine Upgrades
8 June 2020

Red Hat Certifies ArangoDB Kubernetes Operator
28 May 2020

Related products and services
3rd partiesElastic Cloud: Try the official managed Elasticsearch.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ArangoDBElasticsearch
DB-Engines blog posts

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2 January 2018, Paul Andlinger, Matthias Gelbmann

Elasticsearch moved into the top 10 most popular database management systems
3 July 2017, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

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Recent citations in the news

Massive Growth in NoSQL Databases Software Market Set to Witness Huge Growth by 2026 | MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase
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11 August 2020, Bulletin Line

Global Graph Databases Software Market 2020 Revenue | DataStax, IBM, Twitter, ArangoDB, Neo4j, SAP
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provided by Google News

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